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--- |
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language: |
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- en |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: label |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 2793 |
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num_examples: 51 |
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- name: test |
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num_bytes: 7035 |
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num_examples: 100 |
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download_size: 9918 |
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dataset_size: 9828 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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tags: |
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- llms |
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- nlp |
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- chatbots |
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- prompts |
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pretty_name: TL (Test vs Learn) chatbot prompts |
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size_categories: |
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- n<1K |
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--- |
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This dataset contains manually labeled examples used for training and testing [reddgr/tl-test-learn-prompt-classifier](https://huggingface.co./reddgr/tl-test-learn-prompt-classifier), a fine-tuning of DistilBERT that classifies chatbot prompts as either 'test' or 'learn.' |
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Prompts labeled as 'test' (1) are those where it can be inferred that the user is intentionally 'challenging' the conversational tool with a complicated question the user might know the answer to, or a subjective question the user makes with the purpose of testing the tool rather than learning from it or obtaining a specific unknown information. |
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An alternative naming convention for the labels is 'problem' (test) vs 'instruction' (learn). The earliest versions of the reddgr/tl-test-learn-prompt-classifier model used a zero-shot classification pipeline for those two specific terms: instruction (0) vs problem (1). |
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This dataset and the model are part of a project aimed at identifying metrics to quantitatively measure the conversational quality of text generated by large language models (LLMs) and, by extension, any other type of text extracted from a conversational context (customer service chats, social media posts...). |
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Relevant Jupyter notebooks and Python scripts that use this dataset and related datasets and models can be found in the following GitHub repository: |
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[reddgr/chatbot-response-scoring-scbn-rqtl](https://github.com/reddgr/chatbot-response-scoring-scbn-rqtl) |
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## Labels: |
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- **0**: Learn (instruction) |
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- **1**: Test (problem) |
